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What is Navina?
Navina is a clinician-first AI copilot designed to drive value-based care success. Built by Navina Technologies, it solves the problem of fragmented patient data by reconciling unstructured information from multiple sources into a single, actionable source of truth at the point of care. The platform leverages over 600 AI algorithms to provide explainable insights for risk adjustment, quality management, and clinical workflow optimization. It integrates natively with EHR systems, ambient transcription, and claims data to reduce administrative burden and improve patient outcomes. Navina is trusted by over 20,000 clinicians and care team members, with 86% weekly active provider usage. It is particularly suited for primary care practices, ACOs, and value-based care organizations seeking to improve RAF accuracy, close care gaps, and enhance clinician satisfaction. The tool has been recognized as #1 in KLAS for clinician digital workflows.
AI Tool Review Summary
4.7/5
High, consistent, and evidence-backed
Clean, intuitive, and workflow-integrated
LLMNLPSpeech Recognition
To empower clinicians with AI-driven insights for value-based care, improving risk adjustment, quality, and efficiency.
Seamlessly integrates with major EHRs, HIEs, and claims data sources.
Custom enterprise pricing based on organization size and needs
Features with the highest value for users are highlighted here.
AI-powered chart review and summarization
HCC risk adjustment recommendations
Prospective care gap closure
Ambient transcription integration
Real-time analytics dashboard
Seamless EHR integration
Explainable AI with clinical evidence
600+ AI algorithms for primary care
Primary care physicians
Risk adjustment coders
Quality improvement teams
Value-based care executives
Medical group administrators
ACO leaders
Clinical informaticists
Healthcare IT teams
Population health managers
Independent physician practices
Popular
Enterprise
Custom/yearly
Full platform access EHR integration Dedicated support Analytics dashboard
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
Pros & Cons
Clinician-first design leads to high adoption rates (86% weekly active providers). Explainable AI builds trust by providing clinical evidence for every insight.
Primarily focused on value-based care, may not suit fee-for-service practices. Requires integration with existing EHR, which could involve initial setup effort.
FAQs
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